Chen Wang

A framework tackles energy measurement challenges in cloud environments for greener computing.

Researchers combine quantum computing and chemistry to improve drug discovery processes.

Combining simulation training and human feedback to enhance robot skills.

Research sheds light on how massive binary stars evolve and transfer mass.

Learn how black holes merge and what these events reveal about the universe.

A new approach to scheduling jobs in data processing clusters using decision trees.

Introducing BLSP-Emo, a model that understands speech and emotions for better interactions.

New online methods improve functional data analysis for real-world applications.

A new method improves reconstruction of hand-face interactions for AR and VR.

VETE model improves drug response predictions in cancer research.

Utilizing public data to enhance mapping from first-person perspectives.

A new method improves photon-counting accuracy in optical communication.

Examining Sinophobic sentiments and their growth during the pandemic.

Research showcases LLMs' potential for recognizing objects in event-based visuals.

Enhancing usability and reproducibility of drug response prediction in cancer research.

A new framework integrates bundle adjustment with PyTorch for improved 3D modeling.

A new method improves how robots explore structured indoor spaces.

Faro optimizes resource allocation for ML models in constrained environments.

Understanding heat flow can lead to better materials and improved daily applications.

Researchers teach robots to manipulate objects like humans do.

A clear breakdown of language model components and their roles.